Green Edge Intelligence for Smart Management of a FANET in Disaster-Recovery Scenarios

Author:

Faraci Giuseppe1,Rizzo Santi Agatino1ORCID,Schembra Giovanni1ORCID

Affiliation:

1. DIEEI - University of Catania, Catania, Italy

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Liquid Edge

PIACERI project

OMNIA

POR S6 project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Reference43 articles.

1. A UAV-Cloud System for Disaster Sensing Applications

2. Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

3. Optimal UAV flying path for device-to-device communications in disaster area;christy;Proc Int Conf Signals Syst,2017

4. Mobile power station - The world's first 10kW portable wind turbine,2022

5. Legged and flying robots for disaster response;siegwart;Proc World Eng Conf Conv,2015

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MF‐DLB: Multimetric forwarding and directed acyclic graph‐based load balancing for geographic routing in FANETs;Concurrency and Computation: Practice and Experience;2024-01-28

2. A Survey on Trust Management in Flying Ad Hoc Networks: Challenges, Classifications, and Analysis;2023 Tenth International Conference on Software Defined Systems (SDS);2023-10-23

3. Intelligent Cellular Offloading With VLC-Enabled Unmanned Aerial Vehicles;IEEE Internet of Things Journal;2023-10-15

4. UAV-Satellite Integration for Communication System: Potential Applications and Key Challenges;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

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